ThalosTitan solves optimization problems where standard solvers fail. ATA makes autonomous decisions at hardware speed with certified safety gates. Both live on AWS Marketplace today.
Built for problems where scipy, CVXPY, and standard GA solvers fail to converge or produce suboptimal results. Adaptive 60/40 global-to-local budget allocation with mid-run strategy switching. Validated at 80% win rate across six benchmark functions. Includes six specialized engines: QuantumJolt, Kestrel Pro, QuantumEdge, DSS, DRD, and LogicFlux.
| Algorithm | Adaptive hybrid · 60/40 budget split |
| Benchmark win rate | 80% vs scipy differential_evolution |
| Multi-objective | NSGA-II Pareto front |
| Variable types | Continuous · Integer · Mixed |
| Constraints | Hard constraints · Penalty methods |
| Evaluation | Parallel · Async |
| Interface | REST API · FastAPI backend |
| Presets | Supply chain · Energy · Finance · Logistics |
| Sub-engines | QuantumJolt · Kestrel · QuantumEdge · DSS · DRD · LogicFlux |
| Status | AWS Marketplace · Public · Live |
Automatic 60/40 global-to-local allocation. Switches exploration strategy mid-run based on landscape topology — no manual tuning required.
NSGA-II Pareto front for competing objectives. No scalar weighting hacks. Returns the full efficient frontier for decision-maker review.
Handles continuous, integer, and categorical variables in the same problem. Hard constraints enforced throughout — not post-processed.
Pre-tuned configurations for supply chain routing, energy grid scheduling, portfolio optimization, and logistics. Drop-in replacements for existing solvers.
Async parallel objective function evaluation. FastAPI backend with REST interface. No vendor lock-in. Integrates with any orchestration layer.
Each engine is purpose-built: QuantumJolt for high-dimensional, Kestrel for constrained, QuantumEdge for multi-objective, DSS for deterministic, DRD for non-convex, LogicFlux for constraint satisfaction.
High-dimensional optimization with adaptive learning rate. 66.7% win rate in benchmark. Built for neural architecture search and hyperparameter tuning.
Handles inequality and equality constraints with penalty-free enforcement. Purpose-built for constrained engineering and logistics problems.
True Pareto fronts with self-tuning architecture. NSGA-II based. Best for competing objectives: cost vs. quality, risk vs. return, throughput vs. latency.
100% deterministic optimization. Reproducible results every run. Built for regulated environments where stochastic variance is unacceptable.
Radial scaling for non-convex landscapes. Escapes local minima that trap gradient-based methods. No convexity assumptions required.
1000× faster constraint optimization. Built for vehicle routing, data center scheduling, fraud detection, and supply chain constraint satisfaction.
Hardware-accelerated decision engine for autonomous systems where software latency is not acceptable. Sub-10ns decision cycles via FPGA and ASIC. Certified safety gates enforced in silicon. ISO 26262 and DO-254 architecture ready. 1000× faster than software decision loops. Deployed across robotics, UAV, AV, and industrial automation stacks.
| Decision latency | <10ns · FPGA / ASIC |
| vs software loops | 1000× faster |
| Safety standard | ISO 26262 · DO-254 architecture |
| Safety enforcement | Hardware gates · Cannot be bypassed |
| Audit trail | 100% decision coverage · Full trace |
| Interface | REST API · RTL IP · Python SDK |
| Stack compatibility | ROS · Autoware · Custom stacks |
| Deployment | Cloud API · On-premise · FPGA / ASIC |
| Free tier | 1,000 decisions/month · No CC required |
| Status | AWS Marketplace · Public · Live |
FPGA and ASIC implementations deliver sub-10ns decision latency. 1000× faster than any software scheduler. No OS jitter. No GC pauses.
Hard safety constraints enforced at the silicon level. Cannot be overridden in software by design. ISO 26262 ASIL-D and DO-254 DAL-A architecture.
Every decision logged with complete reasoning trace and timestamp. Built for regulatory compliance, post-incident analysis, and certification bodies.
REST API for cloud deployments. RTL IP block for on-chip integration. Python SDK included. ROS, Autoware, and custom autonomy stacks supported.
Tune safety margins, iteration budgets, and decision weights without compromising the hardware enforcement layer. Adapts to your specific requirements.
1,000 free decisions/month. No credit card required. Live on AWS Marketplace today. Scale to millions with metered billing.
| Capability | ThalosTitan | ATA | Notes |
|---|---|---|---|
| Primary function | Optimization solver | Decision engine | Complementary — not competing |
| Target latency | ms – seconds | <10ns | Batch vs. hard real-time |
| Hardware acceleration | — | FPGA / ASIC | ATA only |
| Multi-objective Pareto | NSGA-II | — | ThalosTitan / QuantumEdge |
| Mixed variable support | Int + Continuous + Categorical | — | ThalosTitan only |
| Specialized sub-engines | 6 engines | — | QuantumJolt · Kestrel · QuantumEdge · DSS · DRD · LogicFlux |
| Safety certification | — | ISO 26262 · DO-254 | ATA only |
| Audit trail | — | 100% decision coverage | ATA only |
| REST API | FastAPI | REST + RTL IP | Both |
| Free tier | Free demo available | 1,000 decisions/month | Both |
| AWS Marketplace | Public · Live | Public · Live | Both available today |
Vehicle routing, allocation, and scheduling where standard OR solvers fail to converge at scale.
Real-time path planning and obstacle avoidance with certified safety gates and deterministic timing.
Multi-objective optimization across competing grid constraints, generation mix, and time horizons.
Flight control and navigation with fail-safe behavior enforced at the hardware level.
Pareto-efficient frontiers with hard constraints on drawdown, liquidity, and sector exposure.
Motion planning and human-robot interaction with sub-10ns response and hardware safety guarantees.
High-dimensional search over neural architecture and training configuration spaces.
Safety-critical process control with hard real-time guarantees and a full certification audit trail.
Installation, quick start, and integration guides
thalosforge.optimize() — full parameter reference
Quick start, solver selection, hyperparameter tuning
Methodology, results, and competitive comparisons
Aerospace, fraud detection, and production deployments
High-Performance Optimization Suite. Six specialized engines. Metered billing. One-click deploy on AWS. No infrastructure setup.
Autonomous Thinker Accelerator. 1,000 free decisions/month. No credit card required. Scale to millions with metered billing.